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Artificial Neural Network-Based Methodology for Optimization of Low-Cost Green UHPFRC Under Ductility Requirements Read chapter Read first chapter

2023 | OriginalPaper | Chapter

Numerical Model for Explosive Spalling of High-Strength Concrete and Carbonation During and After Fire Exposure

Authors : Keitai Iwama, Koichi Maekawa, Kazuaki Highuchi

Published in: Numerical Modeling Strategies for Sustainable Concrete Structures

Publisher: Springer International Publishing

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Abstract

This paper investigates the explosive spalling of high-strength concrete and the shear capacity of high-strength reinforced concrete (RC) beams, taking into consideration the impact of carbonation during and after a fire. First, the spalling model of the multi-scale platform was upgraded. In this study, the limit state of spalling was upgraded in consideration of the strain threshold of concrete in the strain softening range. This upgraded spalling model was validated by experiments on ultra-high-strength concrete during high-temperature heating. Based on the simulation results, explosive spalling was computationally predicted by the proposed model. Second, shear failure of high-strength RC beams subjected to high-temperature fire heating was analytically investigated and the proposed model was found to be able to roughly reproduce shear capacity and ductility after high-temperature heating. High concentration of carbon dioxide (CO2) was found to have a large effect on the shear behavior of RC beams, increase their stiffness and shear capacity.

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previous chapter The Multi-scale Multi-technique Multi-physics Framework Required to Model the Thermal Properties of Cement-Based Materials
next chapter Modelling of Rock-Shotcrete Interfaces Using a Novel Bolted Cohesive Element
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Metadata
Title
Numerical Model for Explosive Spalling of High-Strength Concrete and Carbonation During and After Fire Exposure
Authors
Keitai Iwama
Koichi Maekawa
Kazuaki Highuchi
Copyright Year
2023
Book
Numerical Modeling Strategies for Sustainable Concrete Structures

Print ISBN: 978-3-031-07745-6

Electronic ISBN: 978-3-031-07746-3

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-031-07746-3_16